Reproducibility
Awesome Machine Learning
A collection of awesome machine learning goodies
- What can TensorFlow really do?
- The First World Class Overview of AI for the General Public
- Fast.ai
- Deep Learning From Scratch: Theory and Implementation
- Cheat sheets for AI, neural networks, machine learning, deep learning and big data
- Resources for learning statistics and machine learning
- Machine Learning Mind Map
- Deep Learning Drizzle
- Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior
- Explosion on GitHub
Podcast
Platforms
eLearning
- Introduction to Machine Learning
- Coursera: Machine Learning by Andrew Ng
- Stanford CS229: Machine Learning by Andrew Ng
- CS231n: Convolutional Neural Networks for Visual Recognition
- Python Implementation of Andrew Ng’s Machine Learning Course
- Colah's Blog: Christopher Olah writes about machine learning
- Introduction to Deep Learning - Deep Learning basics with Python, TensorFlow and Keras
- Machine Learning Tutorials
- Artificial Intelligence - All in One
- Google AI Education
- Dive into Deep Learning
Books
Applications
Autonomous driving
Natural Language Processing
Tools
PyTorch
TensorFlow
- TensorFlow Tutorials
- Awesome TensorFlow
- TensorFlow Hub
- TFX
- TensorFlow User Contributions
- TensorFlow Playground: Tinker With a Neural Network Right Here in Your Browser. Don’t Worry, You Can’t Break It. We Promise.
- Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch
- Image Classification using Flowers dataset
- Troubleshooting a TensorFlow Predictive Model Microservice with Weave Cloud
Keras
Google Colab
- How to run object detection and segmentation on video fast for free
- Quick guide to run TensorBoard in Google Colab
Jupyter
- JupyterHub in Classrooms
- Dockerized Jupyterhub Deep Learning Notebooks with GPU Access
- Jupyter ServerExtension to sync a git repository one-way to a local path
- JupyterHub Ecosystem
XGBoost
Scala
- Top 15 Scala Libraries for Data Science in 2018
- Keynote: The Last Hope for Scala's Infinity War - John A. De Goes
- Sean Glover
Apache Spark MLlib
- Databricks courses
- PySpark Uploader
- Analytics for Apache Spark
- Real time sentiment analysis of twitter hashtags with Spark
- Productionizing Spark ML pipelines with the portable format for analytics
- Spark Bench
- Sentiment Analysis of Twitter Hashtags With Spark
- Building A Linear Regression with PySpark and MLlib
- Spark TensorFlow Example
- spark-tensorflow-connector
- Pandas vs Spark
- Get Started with PySpark and Jupyter Notebook in 3 Minutes
- Dataproc cluster with Datalab and the Google Python Client API
- Spark Cheat Sheet
Databricks
- Introduction to Databricks
- Databricks Delta: A Unified Management System for Real-time Big Data
- Real-Time Data Pipelines Made Easy with Structured Streaming in Apache Spark
- Databricks Community
Java
MLeap
- MLeap documentation
- MLeap Benchmark
- MLeap demo
- MLeap deploy Spark ML pipelines to production API servers
Courses
Kubernetes
- Start from here!
- Kubeflow
- Introduction to Kubeflow on Google Kubernetes Engine
- Deploying a containerized web application
- Polyaxon, Argo and Seldon for model training, package and deployment in Kubernetes
- Cloud Native Computing Foundation
- Juju k8s-tf-demo
- ksonnet
- Continuously Train & Deploy Spark ML and Tensorflow AI Models from Jupyter Notebook to Production
- Kubeflow on EKS
- Kubeflow labs on Azure
- Deploy Kubeflow on GCP
- Feast
FfDL
- Deploy and use a multi-framework deep learning platform on Kubernetes
- Serve it hot! Deploy your FfDL trained models using Seldon
- IBM CODAIT - Center for Open-source Data & AI Technologies
Jupyter
Cloud Foundry
- Data Science on Cloud Foundry
- Data Science How-To: Text Analytics-as-a-Service
- Car diagnostic API
- Portfolio Optimization
- Operationalizing PySpark Data Science Models on Pivotal Cloud Foundry
- Linear Regression
- PySpark App CF
- PySpark buildpack
- Python buildpack
Dask
Graphistry
Machine Learning Algorithms
Recursive Neural Networks
- Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras
- How to do time series prediction using RNNs, TensorFlow and Cloud ML Engine
Reinforcement Learning
- Dopamine: a research framework for fast prototyping of reinforcement learning algorithms
- RL Lab
- Reinforcement Learning and Optimal Control
AutoML
Machine Learning in Production
- Databricks Delta: A Unified Management System for Real-time Big Data
- Databricks runtime
- Azure Databricks
- MLeap: Productionize Data Science Workflows Using Spark
- Combust
- Rapids.ai
- H2O
- Algorithmia
- Seldon
- Anaconda Enterprise
- Amazon SageMaker
- Azure Machine Learning
- IBM Watson Machine Learning
- The road to 1.0: production ready PyTorch
- Chainer
- MapR Analytics and ML
- Omniscience
- URSA LABS
- Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson
Edge Computing
TensorFlow
Benchmarks
Model exchange
Platforms
Datasets
- Google BigQuery Public Datasets
- Datasets publicly available on Google BigQuery
- Awesome Public Datasets
- Fleet maintenance
- Google Genomics Public Dataset
- Google Sample Datasets
- UC Irvine Machine Learning Repository